AI used to increase highway safety

Driverless cars will soon be part of the transportation landscape. An important reason for this technological advance is the reduced cost and size of the technology as well as technological advances in artificial intelligence (AI) to operate vehicles. However, AI is now being used in pilot program to predict and avoid motor vehicle accidents by human drivers as well.

The Nevada Highway Patrol is now working with Waycare, which provides artificial intelligence-based services and products to so-called “smart cities,” on a pilot program to prevent accidents. The program uses in-vehicle technology including sensors and cameras as well as traffic data in real time to predict and reduce congestion, thus reducing the number of crashes.

The technology also is used for identifying accidents an average of 12 minutes faster, which obviously can be the difference between life and death. Once the accident is identified, it uses message boards on the roadway to relay accident information to warn drivers to reduce their speed and watch for hazards. Law enforcement is then more quickly dispatched to provide warnings to drivers and provide barriers for crash victims.

According to the local news, the yearlong pilot program has seen a 17 percent drop in crashes on a section Interstate 15 just west of the Las Vegas strip. Already a successfully applied in Tel Aviv and Tampa Bay, the AI program will be expanded to other parts of Las Vegas.

Use caution behind the wheel this winter season

AI technology is currently able to safely operate vehicles when the conditions are at least close to ideal. However, this technological advance in predicting accidents would seem applicable to the challenging driving conditions and topography drivers here face.

Until then, drivers will need to remember to rely on their own common sense to drive in a way that is appropriate for the conditions. If an accident does occur, victims may need to seek guidance from a personal injury attorney to recoup the cost of damages, injuries and time away from work.